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Found 8 papers, 2 papers with code
Neural Sign Actors: A diffusion model for 3D sign language production from text
Sign Languages (SL) serve as the primary mode of communication for the Deaf and Hard of Hearing communities.
3DGazeNet: Generalizing Gaze Estimation with Weak-Supervision from Synthetic Views
To close the gap between image domains, we create a large-scale dataset of diverse faces with gaze pseudo-annotations, which we extract based on the 3D geometry of the scene, and design a multi-view supervision framework to balance their effect during training.
Free-HeadGAN: Neural Talking Head Synthesis with Explicit Gaze Control
We present Free-HeadGAN, a person-generic neural talking head synthesis system.
Learning to Generate Customized Dynamic 3D Facial Expressions
To this end, in this study we employ a deep mesh encoder-decoder like architecture to synthesize realistic high resolution facial expressions by using a single neutral frame along with an expression identification.
Towards a complete 3D morphable model of the human head
Eye and eye region models are incorporated into the head model, along with basic models of the teeth, tongue and inner mouth cavity.
SliderGAN: Synthesizing Expressive Face Images by Sliding 3D Blendshape Parameters
In particular, we propose the SliderGAN which transforms an input face image into a new one according to the continuous values of a statistical blendshape model of facial motion.
Deep Neural Network Augmentation: Generating Faces for Affect Analysis
This paper presents a novel approach for synthesizing facial affect; either in terms of the six basic expressions (i. e., anger, disgust, fear, joy, sadness and surprise), or in terms of valence (i. e., how positive or negative is an emotion) and arousal (i. e., power of the emotion activation).
Ranked #6 on
Facial Expression Recognition (FER)
on RAF-DB
(Avg. Accuracy metric, using extra
training data)
Multi-Attribute Robust Component Analysis for Facial UV Maps
In this paper, we propose a novel component analysis technique that is suitable for facial UV maps containing a considerable amount of missing information and outliers, while additionally, incorporates knowledge from various attributes (such as age and identity).
